Design And Comparison Of Traditional Cyberbullying Detection Models Using NLP
Megha Manoj, Sujala D. Shetty · 2023
This paper intends to research various techniques used in the detection and prevention of cyberbullying and implement them. Bullying refers to the act of harassing an individual or group to inflict humiliation or superiority through physical violence and cause mental distress or both. With the rise and evolution of technology and the availability of social media as a platform of expression the act of cyberbullying or online bullying has significantly increased. To counter the issue of online bullying various anti-cyberbullying campaigns as well as legal actions have been proposed and launched where one can report such actions as cybercrimes. In an attempt to automate this particular process various technological models have been proposed to classify media content as cyberbullying and the latter. With respect to this advancement a web application will be developed using traditional models to compare the generated labels for text-based cyberbullying and thereby showcase the performance of each model.